Systems and methods for improved coverage of input media in content summarization
    3.
    发明授权
    Systems and methods for improved coverage of input media in content summarization 有权
    内容摘要中提高输入媒体覆盖率的系统和方法

    公开(公告)号:US09471679B2

    公开(公告)日:2016-10-18

    申请号:US14194518

    申请日:2014-02-28

    申请人: Google Inc.

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30843

    摘要: The disclosed technology includes techniques for improved content coverage in automatically-generated content summaries. The technique may include clustering a set of input content, determining diffusion for each cluster, and selecting representatives of each cluster to optimize other secondary metrics. Various types of input content may be used, including groups of images, video clips, or other multimedia content. Contiguous content may be manually or programmatically divided into discrete portions before clustering, for example, a lengthy video divided into a number of short clips. In some implementations, the disclosed technique may be implemented effectively on a mobile device. In other words, the processing required may be computationally feasible for execution on a smartphone or similar device.

    摘要翻译: 所公开的技术包括用于改进自动生成的内容摘要中的内容覆盖的技术。 该技术可以包括对一组输入内容进行聚类,确定每个集群的扩散,以及选择每个集群的代表以优化其他次要度量。 可以使用各种类型的输入内容,包括图像组,视频剪辑或其他多媒体内容。 连续的内容可以在聚类之前被手动地或者编程地划分成离散的部分,例如,被分成多个短片段的冗长的视频。 在一些实现中,可以在移动设备上有效地实现所公开的技术。 换句话说,所需的处理在计算上可以在智能电话或类似设备上执行。

    Techniques for automatic photo album generation
    6.
    发明授权
    Techniques for automatic photo album generation 有权
    自动相册生成技术

    公开(公告)号:US08983193B1

    公开(公告)日:2015-03-17

    申请号:US13628735

    申请日:2012-09-27

    申请人: Google Inc.

    IPC分类号: G06K9/46 G06K9/00

    摘要: A computer-implemented technique can receive, at a computing device including one or more processors, a plurality of photos. The technique can extract quality features and similarity features for each of the plurality of photos and can obtain weights for the various quality features and similarity features based on an analysis of a reference photo collection. The technique can generate a quality metric for each of the plurality of photos and can generate a similarity matrix for the plurality of photos by analyzing the various quality features and similarity features and using the obtained weights. The technique can perform joint global maximization of photo quality and photo diversity using the quality metrics and the similarity matrix in order to select a subset of the plurality of photos having a high degree of representativeness. The technique can then store the subset of the plurality of photos in a memory.

    摘要翻译: 计算机实现的技术可以在包括一个或多个处理器的计算设备处接收多个照片。 该技术可以为多张照片中的每一张照片提取质量特征和相似性特征,并且可以基于参考照片集合的分析来获得各种质量特征和相似性特征的权重。 该技术可以为多个照片中的每一个生成质量度量,并且可以通过分析各种质量特征和相似性特征并使用获得的权重来生成多张照片的相似性矩阵。 该技术可以使用质量度量和相似性矩阵来执行照片质量和照片分集的联合全局最大化,以便选择具有高度代表性的多张照片的子集。 该技术然后可以将多个照片的子集存储在存储器中。

    SYSTEMS AND METHODS FOR PRIORITIZING NOTIFICATIONS ON MOBILE DEVICES
    7.
    发明申请
    SYSTEMS AND METHODS FOR PRIORITIZING NOTIFICATIONS ON MOBILE DEVICES 有权
    移动设备通知通知系统及方法

    公开(公告)号:US20140229880A1

    公开(公告)日:2014-08-14

    申请号:US14258996

    申请日:2014-04-22

    申请人: Google Inc.

    IPC分类号: G06F17/30

    摘要: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

    摘要翻译: 所公开技术的某些实施例包括用于使用机器学习确定移动设备上的通知的优先级的系统和方法。 所公开技术的其他方面包括基于通知的优先级选择性地显示通知。 根据所公开的技术的实施例,提供了一种计算机实现方法,其包括向可操作地耦合到移动设备的显示设备输出多个通知,其中来自所述多个通知的每个相应的通知与相应的 优先分数 由所述移动设备修改基于响应于来自所述多个通知的第一通知接收到的用户输入和来自所述多个通知的第二通知的特征的排序模型; 基于所述修改的排序模型,由所述移动设备确定与第三通知相关联的优先级得分; 以及基于与所述第三通知相关联的优先级得分将所述第三通知输出到所述显示设备,其中所述第三通知响应于与所述第三通知相关联的优先级得分大于至少一个与 来自多个通知的对应的相应通知。

    Systems and methods for prioritizing notifications on mobile devices
    8.
    发明授权
    Systems and methods for prioritizing notifications on mobile devices 有权
    移动设备通知优先级的系统和方法

    公开(公告)号:US08707201B1

    公开(公告)日:2014-04-22

    申请号:US13648972

    申请日:2012-10-10

    申请人: Google Inc.

    摘要: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

    摘要翻译: 所公开技术的某些实施例包括用于使用机器学习确定移动设备上的通知的优先级的系统和方法。 所公开技术的其他方面包括基于通知的优先级选择性地显示通知。 根据所公开的技术的实施例,提供了一种计算机实现方法,其包括向可操作地耦合到移动设备的显示设备输出多个通知,其中来自所述多个通知的每个相应通知与相应的 优先分数 由所述移动设备修改基于响应于来自所述多个通知的第一通知接收到的用户输入和来自所述多个通知的第二通知的特征的排序模型; 确定,由所述移动设备,其中基于修改的排名模型的第三通知相关联的优先级分数; 并输出到显示装置,基于与所述第三通知,相关联的优先级得分的第三通知,其中,所述第三通知被图形强调响应于与所述第三通知比与相关联的至少一个各自的优先级得分更大的相关联的优先级得分 从所述多个通知对应的相应通知。

    Systems and methods for determining motion saliency
    9.
    发明授权
    Systems and methods for determining motion saliency 有权
    确定运动显着性的系统和方法

    公开(公告)号:US09208573B2

    公开(公告)日:2015-12-08

    申请号:US14228273

    申请日:2014-03-28

    申请人: Google Inc.

    IPC分类号: G06K9/00 G06T7/20

    摘要: Techniques for determining motion saliency in video content using center-surround receptive fields. In some implementations, images or frames from a video may be apportioned into non-overlapped regions, for example, by applying a rectilinear grid. For each grid region, or cell, motion consistency may be measured between the center and surround area of that cell across frames of the video. Consistent motion across the center-surround area may indicate that the corresponding region has low variation. The larger the difference between center-surround motions in a cell, the more likely the region has high motion saliency.

    摘要翻译: 用于使用中心环绕接收场来确定视频内容中的运动显着性的技术。 在一些实现中,来自视频的图像或帧可以例如通过应用直线网格而被分配到非重叠区域中。 对于每个网格区域或单元格,可以在视频的帧之间的该单元的中心区域和环绕区域之间测量运动一致性。 穿过中心环绕区域的一致运动可以指示对应的区域具有低的变化。 细胞中心环绕运动之间的差异越大,该区域的运动显着性就越高。

    Systems and methods for prioritizing notifications on mobile devices

    公开(公告)号:US09817869B2

    公开(公告)日:2017-11-14

    申请号:US14258996

    申请日:2014-04-22

    申请人: Google Inc.

    摘要: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.